TY  - JOUR
A1  - Moca, Vasile V.
A1  - Scheller, Bertram
A1  - Mureşan, Raul C.
A1  - Daunderer, Michael
A1  - Pipa, Gordon
T1  - EEG processing with TESPAR for depth of anesthesia detection
T2  - BMC neuroscience 2009, 10(Suppl 1):P68
N2  - Poster presentation: Introduction Adequate anesthesia is crucial to the success of surgical interventions and subsequent recovery. Neuroscientists, surgeons, and engineers have sought to understand the impact of anesthetics on the information processing in the brain and to properly assess the level of anesthesia in an non-invasive manner. Studies have indicated a more reliable depth of anesthesia (DOA) detection if multiple parameters are employed. Indeed, commercial DOA monitors (BIS, Narcotrend, M-Entropy and A-line ARX) use more than one feature extraction method. Here, we propose TESPAR (Time Encoded Signal Processing And Recognition) a time domain signal processing technique novel to EEG DOA assessment that could enhance existing monitoring devices. ...
Y1  - 2009
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/7075
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-70972
N1  - © 2009 Moca et al; licensee BioMed Central Ltd.
VL  - 10(Suppl 1)
IS  - P68
ER  -